Alternatives and similar repositories for ai-for-tsp-competition

Users that are interested in ai-for-tsp-competition are comparing it to the libraries listed below

• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆85Updated 3 years ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆20Updated 10 months ago
• wouterkool / dpdp
  DPDP
  ☆101Updated 2 years ago
• naver / bq-nco
  ☆40Updated last year
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆114Updated last year
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆81Updated last month
• ahottung / NLNS
  Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
  ☆95Updated 5 years ago
• yining043 / TSP-improve
  An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…
  ☆97Updated 2 years ago
• alstn12088 / LCP
  ☆21Updated 2 years ago
• yining043 / PDP-N2S
  This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…
  ☆60Updated 2 years ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆39Updated 3 years ago
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆27Updated 5 months ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆53Updated 4 years ago
• xybFight / NAR4TSP
  PyTorch code for the NAR4TSP.
  ☆25Updated 10 months ago
• ai4co / camp
  [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
  ☆23Updated 3 months ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆55Updated last year
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆52Updated 2 months ago
• RoyalSkye / Routing-CNF
  [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"
  ☆20Updated 9 months ago
• Spider-scnu / TSP
  ☆132Updated 2 years ago
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆40Updated last year
• DIMESTeam / DIMES
  ☆42Updated 4 months ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆56Updated 2 years ago
• yd-kwon / MatNet
  codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"
  ☆70Updated 3 years ago
• dtkon / PDP-NCS
  Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu and Jianhua Xiao, "Efficient Neural Collaborative Search for Pickup and Delivery Problem…
  ☆14Updated 6 months ago
• liangxinedu / MDAM
  ☆54Updated 4 years ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆30Updated 4 months ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆36Updated 5 years ago
• kaist-silab / equity-transformer
  ☆27Updated last year
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆113Updated 2 years ago